Triple
T6082238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey D. Ullman |
E135550
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ullman |
E543155
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ullman | Statement: [Jeffrey D. Ullman, familyName, Ullman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ullman Context triple: [Jeffrey D. Ullman, familyName, Ullman]
-
A.
Ullman
chosen
Ullman is a surname most prominently associated with British-American actress, comedian, and singer Tracey Ullman.
-
B.
Tanenbaum
Tanenbaum is the surname of Andrew S. Tanenbaum, a prominent computer scientist known for his influential work on operating systems and computer networks.
-
C.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
-
D.
Blum
Blum is a surname of German and Jewish origin borne by various notable individuals across fields such as mathematics, politics, and the arts.
-
E.
Millner
Millner is an English occupational surname historically associated with people who made or sold hats or millinery goods.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05774bc948190a446b27e83f7079b |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d57b5f481908d7df374837a486a |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.